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Math is a crucial skill for people who are interested in Data Science and Machine Learning. Until now, most of the people who are doing Data Science have a strong background in math, usually, people with master or Ph.D. degrees. However, this fact seems to change in the next years, after the hype of Machine Learning we are facing a process of democratization. Now the door of Data Science is open for everyone. To truly madly deeply understand how the machine learning algorithms work we need to...
Topics: Scientific Libraries (Numpy/Pandas/SciKit/...), Data Science, Data, Jupyter/iPython,...
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Materials are available at https://github.com/hchasestevens/europython-2018 This session will introduce attendees to Python's rich ecosystem of abstract syntax tree tooling and libraries, with an emphasis on practical applications in static analysis and metaprogramming. Attendees should be fully comfortable with Python syntax and semantics, but familiarity with the ast module itself will not be necessary. The talk will begin with a conceptual overview of ASTs, including a brief look at Python's...
Topics: Use Case, Python general, Tooling, Code Analysis, Static Analysis, EuroPython2018, Python
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Rachel Willmer - 20 years without a 'proper job' [EuroPython 2016] [18 July 2016 / 2016-07-18] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/keynote-20-years-without-a-proper-job) Have you ever wondered how you could be your own boss? or how you could make money from your side project? or build the next Facebook or Uber. To be a coder in today's world of work is to have amazing opportunities to design the business life you want. I've enjoyed the last 20 years without...
Topics: Track, Business, EuroPython2016, EuroPython2016, EuroPython2016, Python
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Building web applications is one of the most common uses of Python. With a plethora of different web frameworks aiming at varying audiences, it has become a rather simple and well-documented process to develop web applications and web services. So popular it has become that the WSGI specification is the industry standard protocol for developing web applications with Python. But the WSGI standard is lacking with two major limitations: It supports only the ‘traditional’ synchronous http...
Topics: Performance, Web Servers and MicroFWs (Flask/Tornado/Nginx/...), ASYNC / Concurreny, Web General,...
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Images are an ubiquitous form of data in various fields of science and industry. Images often need to be transformed and processed, for example for helping medical diagnosis by extracting regions of interest or measures, or for building training sets for machine learning. In this talk, I will present and discuss several tools for automatic and interactive image processing with Python. I will start by a short introduction to scikit-image (https://scikit-image.org/), the open-source image...
Topics: Computer Vision, Data Science, Image Processing, JavaScript Web Frameworks (AngularJS/ReactJS/...),...
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The very small 2-person DevOps team within Red Hat Performance/Scale Engineering has developed a set of Open Source Python-based systems and network automation provisioning tools designed to end-to-end automate the provisioning of large-scale systems and network switches using tools like Foreman, Ansible, and other Open Source bits. QUADS – or “quick and dirty scheduler” allows a normally overburdened DevOps warrior to fully automate large swaths of systems and network devices based on a...
Topics: Operations, OpenStack, Infrastructure, DevOps general, System Administration, EuroPython2017, Python
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Discrete event simulation is a very powerful technique in many fields, like transport, warehousing, hospitals, manufacturing and logistics. There are several commercial packages that provide high end GUIs to design a system and to animate the operations. These packages are neary always close source and are very expensive (think USD 10-20 K per user). Often implementing complex algorithms is cumbersome. On the other end of the spectrum are open source packages that use existing program...
Topics: Algorithms, Engineering, Robotics, Use Case, Visualization, EuroPython2020, Python
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This study is the first attempt to understand the current gender demographics of the HPC community, and identify potential reasons and ways to tackle the gender imbalance. By listening to the people who constitute the community, the study offers a guideline on what the HPC community should focus on in order to become more attractive, accessible and useful to everyone. Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/
Topics: Diversity, EuroPython2019, Python
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Thomas Wiecki - Probabilistic Programming in Python [EuroPython 2014] [24 July 2014] Probabilistic Programming allows flexible specification of statistical models to gain insight from data. The high interpretability and ease by which different sources can be combined has huge value for Data Science. PyMC3 features next generation sampling algorithms, an intuitive model specification syntax, and just-in-time compilation for speed, to allow estimation of large-scale probabilistic models. -----...
Topics: statistics, machine learning, bayesian, pymc, probabilistic programming, EuroPython2014, Python
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Last year's talk (https://ep2016.europython.eu/conference/talks/writing-unit-tests-for-c-code-in-python) showed you how to use CFFI (https://cffi.readthedocs.io/) to write unit tests for C code in Python. This year we will take the concept one step further and create integration tests covering (almost) the whole firmware of a microcontroller, again leveraging the power of CFFI. But instead of running the firmware on the controller, it will be executed on the development machine (that is, a...
Topics: Other Hardware, Testing, Programming, Hardware/IoT Track, C-Languages, EuroPython2017, Python
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Overview Static analysis is a powerful technique for improving the quality of software. It allows you to find bugs in your Python code without any the need for any annotations. At lgtm.com we provide state-of-the-art static analysis for a number of languages including Python. Our Python analysis can find bugs without the annoyance of many false positives. We have already found bugs in the standard library, requests, numpy and many others. In this talk I will briefly describe what static...
Topics: Developing with Python, Tooling, Code Analysis, Static Analysis, EuroPython2017, Python
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We will have a quick tour of the many ways Python gives us to handle DOCX, XLSX, PPTX, and PDF and automate some boring office tasks. Many things are more interesting than office file formats like DOCX, XLSX, PPTX, and PDF. Still, while working with office formats does not seem to be the most fun, it is useful. But we can do better than just useful. With the Python and some great libraries, it is possible to have Python do much of the work you would have to do otherwise: Create and modify PDF...
Topics: Python general, Python 3, EuroPython2018, Python
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This talk will briefly go over the various decorator syntaxes before breaking up the common usages of decorators into 5 categories. Effectively, these are design patterns for decorators. The usages to be considered are: A - Argument Changing Decorators -- Decorators that change a function's arguments, including changing its signature B - Binding Decorators -- Decorators that implement the Descriptor Protocol, such as the builtins: @property, @classmethod, and @staticmethod C - Control Flow...
Topics: Software Design, Development, Programming, Python general, EuroPython2018, Python
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Portable Document Format (PDF) is commonly used to produce, publish, exchange, and archive business and academic documents alike. Often in such PDFs there are tables with data that you want to extract and process in some automated fashion. Unlike HTML or other formats, PDF has no concept of tables as rows and columns with related data. Tables in PDFs are rendered to visually resemble a table (when printed) using low-level instructions to place the text of each table cell where it should be,...
Topics: Computer Vision, Image Processing, Natural Language Processing, Scientific Libraries...
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Packaging in Python is hard. Packaging is particularly hard when code needs to run in a distributed computing environment where it is difficult to know what runs where and which parts of the code are available to run there. In this talk we will present different ways to ship Python code to a compute cluster, what Python's ""pickling"" feature has to do with this, what self contained executables are and the challenges we met when shipping Python code to a cluster with 1000s...
Topics: Big Data, Distributed Systems, Packaging, Virtual Env, EuroPython2020, Python
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Radosław Jankiewicz - Writing quality code [EuroPython 2015] [20 July 2015] [Bilbao, Euskadi, Spain] The quality of written code is an important factor in a final success of a software project. Perhaps there is no universal definition of high quality code, however usually it's characterized as clear and readable, well-designed, well tested and documented, easier to debug, maintain and extend, etc. Python was designed to be a highly readable language that would make it easier to develop high...
Topics: python, BestPractices, Programming, Coding, EuroPython2015, Python
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Jose Manuel Ortega - Hacking ético con herramientas Python [EuroPython 2016] [19 July 2016 / 2016-07-19] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/hacking-etico-con-herramientas-python) El objetivo de la charla sería mostrar las herramientas que disponemos dentro de la propia API de Python y librerías de terceros para desarrollar nuestras propias herramientas que permitan realizar pruebas de seguridad y de pentesting de las aplicaciones. ----- Python se ha...
Topics: Security, Privacy, Science Track, Development, Cryptography, EuroPython2016, Python
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Please see our speaker release agreement for details: https://ep2018.europython.eu/en/speaker-release-agreement/
Topics: EuroPython2018, Python
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This talk tells the story of Mu, a native code editor written in Python (https://codewith.mu/). One Sunday afternoon I foolishly asked myself, ""How hard can it be to write a simple code editor?"" Several years later an international team of volunteers are still working on the project. We have had to address: Cross platform GUI development. Cross platform packaging solutions for Python. Creating an interactive visual debugger. Integrating with iPython notebook. Integrating...
Topics: Cross-Platform-Development, Development, Education, Packaging, failures/mistakes, EuroPython2019,...
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There are many modern terminal tools with vastly improved user experiences as compared to their traditional alternatives. This talk aims to show off some of those modern terminal tools and compare them side by side with the traditional ones. Python is not only used by software developers with fancy IDEs but also by DevOps engineers, administrators, and on remote development machines where using a GUI is impractical. Therefore, many people are stuck with a terminal interface only and have to use...
Topics: Command-Line, Linux, System Administration, Tooling, Unix, EuroPython2019, Python
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Have you ever tried to manage deployment of multiple python applications through various linux distributions ? If so, you must have heard of Docker and maybe also Kubernetes. Distributing python applications using docker is simple and allows to create static packages containing everything required for them to run. Also it allows to freeze everything, packages, available libraries, files on filesystem. In my speech I would like to tell you about our brief journey, of moving our trading platform...
Topics: Docker, Infrastructure, Deployment/Continuous Integration and Delivery, EuroPython2018, Python
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Goal After this session, audiences will get - Basic knowledge of OpenAPI (Swagger) - Ecosystem of OpenAPI(Swagger) and tools related to Python and knowledge to make use of them in their own projects Audience (1) This talk is for: - Developers who are creating or using API services such as web applications, mobile applications and all other kinds of applications (2) Audience will be expected to have (prerequisite): - Basic knowledge of development with API (REST and others) - Basic knowledge of...
Topics: Web Track, Documentation, RESTful, Use Case, APIs, EuroPython2017, Python
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Domain-Driven Design (DDD) is an approach to software development that emphasises high-fidelity modelling of the problem domain, and which uses a software implementation of the domain model as a foundation for system design. This approach helps organize and minimize the essential complexity of your software. DDD has been used with success within the traditional enterprise programming ecosystems of Java and .NET, but has seen only limited adoption in the Python community. In this talk we...
Topics: Software Design, Abstractions, Programming, Architecture, Databases, EuroPython2018, Python
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Machine learning (ML) is becoming an essential technology for our day to day life. Stop taking ML as a threat and learn it today as not learning it is a HUGE LOSS! Get started today with ML in Aaron's remarkable 45-mins talk. We will begin by talking about the paradigm of ML, then taking a deep dive into Neural Networks and building a Neural Network from scratch with Keras and TensorFlow (the hottest machine learning framework). You'll master the magic of neural networks that are powering...
Topics: Beginners, Deep Learning, General, Machine-Learning, EuroPython2020, Python
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Python offers many different data visualization libraries, and the sheer number of alternatives can be daunting to newcomers. This talk aims to introduce the most important visualization libraries, covering Matplotlib, Plotly, Bokeh and Altair, among others. It also provides a summary of the quickly developing dashboarding solutions, including Dash, Panel and Voila. The goal of talk is not just to provide a simple list of libraries, but also to highlight the main characteristics and...
Topics: Analytics, Data, Data Science, Visualization, EuroPython2020, Python
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Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/
Topics: EuroPython2019, Python
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Andrés Cidel - Create secure production environment using Docker [EuroPython 2016] [18 July 2016 / 2016-07-18] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/create-secure-production-environment-using-docker) The purpose of this talk if pointing out that using Docker in production is perfectly valid, not just for develop and CI environments. ----- Docker is a relatively new technology platform that helps teams develop, deploy and scale applications with greater ease...
Topics: Virtualization, Security, Best Practice, Docker, EuroPython2016, Python
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GRR Rapid Response (https://github.com/google/grr) is an incident response framework focused on remote live forensics. It consists of a Python client (agent) that is installed on target systems, and Python server infrastructure that can manage and talk to clients. The goal of GRR is to support forensics and investigations in a fast, scalable manner to allow analysts to quickly triage attacks and perform analysis remotely. GRR was started at Google in 2009 as a simple Python helper script used...
Topics: Databases, Deployment/Continuous Integration and Delivery, Development, Open-Source, Security,...
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Mikel Larreategi - Python gure etxean: (r)eboluzioa atzo, gaur eta bihar [EuroPython 2015] [22 July 2015] [Bilbao, Euskadi, Spain] [Euskara] 2000 urtean CodeSyntax sortu zenetik Python erabili dugu gure lan ia guztiak egiteko. Lan horiek egitean izandako (r)eboluzioa azalduko dugu hitzaldi honetan: python script arruntetatik, Zope aplikazioen zerbitzarian nabigatzaile baten programatzetik, fitxategi sisteman programatzera pasatu gara, Turbogears ere ikutu dugu eta orain Plone, Django eta...
Topics: web, Plone, django, open-source, EuroPython2015, Python
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Elena Cuoco - Python in Gravitational Waves Research Communities [EuroPython 2016] [19 July 2016 / 2016-07-19] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/pyhton-in-gravitational-waves-research-communities) On February 11th 2016 Ligo-Virgo collaboration gave the announce of the discovery of Gravitational Waves, just 100 years after the Einstein’s paper on their prediction. A brief introdutcion to data analysis methods used in Gravitational Waves (GW) communities...
Topics: Jupyter/iPython Notebook, Data Science, EuroPython2016, Python
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Michał Bultrowicz - TDD of Python microservices [EuroPython 2016] [22 July 2016 / 2016-07-22] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/tdd-of-python-microservices) A framework-agnostic approach to creating Python microservices with a tests-first approach. I'll show how to utilize Docker and Swagger to create service and contract tests that run your service as an independent process, as if it was running in production, giving you and your team a higher degree of...
Topics: Test Driven Development (TDD), Docker, RESTful, Web Track, EuroPython2016, Python
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Please see our speaker release agreement for details: https://ep2018.europython.eu/en/speaker-release-agreement/
Topics: EuroPython2018, Python
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In this talk about using Selenium and Python for social media automation you will get some insights into growing your own open source projects into tools that really get used and maintained by a community. You will get an idea of what pitfalls you have to face when working with something as fast changing as Instagram and how to best tackle this. You'll learn what the ""Page Object"" design pattern is, what it is useful for and why we use it. Of course we will also talk about...
Topics: Beginners, Educational Track, Open-Source, Jupyter/iPython, Learning, EuroPython2017, Python
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Creating full-stack applications with Python, NodeJS and React can seem daunting at first. Having made many variations of these, I will show you the ropes, so you too can discover that it is in fact easy to get going. In this talk you will learn to create a full-stack web application in Python, with a Nodejs and React front-end. I will provide you with an easy-to- follow walkthrough of the process, and you’ll exit this talk feeling confident that you can now create your own full-stack web...
Topics: JavaScript Web Frameworks (AngularJS/ReactJS/...), Web Track, Python 3, Developing with Python,...
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PyCharm, a Python IDE with its free and open-source community edition, in last several years has become a tool of choice for more and more Python developers. But not everybody uses its full power. Moreover, most only use a fraction of the functionality it provides. The reality is that an IDE is not just about a set of integrated tools, but an environment that understands the semantics of your project, of what you’re doing. It can leverage this to provide you with functionality that can make...
Topics: Best Practice, python, Clean Code, Tooling, EuroPython2017, Python
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Django is a popular, solid web framework for perfectionists with deadlines, with a wide ecosystem of packages that extend its powers in multiple directions. In the era of peaking popularity of Node/Deno, microservices, and heavyweight browser rendered webapps, Django still remains a triumphant monolith maker, very capable of major undertakings in the web arena. For all you Django-lovers out there, it seems to me like a matter of time before you have to do some form of multi-tenancy in Django....
Topics: Abstractions, Architecture, Databases, Django, Django Projects, EuroPython2020, Python
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Julian Berman - Design Your Tests [EuroPython 2014] [23 July 2014] While getting started testing often provides noticeable immediate improvement for any developer, it's often not until the realization that tests are things that need design to provide maximal benefit that developers begin to appreciate or even enjoy them. We'll investigate how building shallow, transparent layers for your tests makes for better failures, clearer tests, and quicker diagnoses. ----- * Life span of a test * 5...
Topics: EuroPython2014, Python
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Giles Thomas - An HTTP request's journey through a platform-as-a-service [EuroPython 2014] [23 July 2014] PythonAnywhere hosts tens of thousands of Python web applications, with traffic ranging from a couple of hits a week to dozens of hits a second. Hosting this many sites reliably at a reasonable cost requires a well-designed infrastructure, but it uses the same standard components as many other Python-based websites. We've built our stack on GNU/Linux, nginx, uWSGI, Redis, and Lua -- all...
Topics: EuroPython2014, Python
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Andrey Syschikov - Practical usage of advanced Python constructs [EuroPython 2015] [24 July 2015] [Bilbao, Euskadi, Spain] Python is a language of choice for developers with wide range of experience, for some it is a first programming language, others switch to Python after years of experience. Python provides friendly syntax and smooth learning curve. This sometimes leads to developers lacking comprehension of some more advanced constructs. It happens that experienced developers jump into...
Topics: python, core, EuroPython2015, Python
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Anders Lehmann - How to GIS with Python [EuroPython 2015] [24 July 2015] [Bilbao, Euskadi, Spain] In this talk I will present some tools for working with Geographic Information Systems in Python. Geographic information Systems are widely used for managing geographic (map) data. As an example I will present how to use Open Street Map data (http://openstreetmap.org/), in routing, traffic planning and estimation of pollution emission. For the purpose of the project EcoSense...
Topics: GIS, bigdata, Mapmatching, PostGIS, postgresql, EuroPython2015, Python
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The Jupyter Notebook (formerly IPython Notebook) has been used to support learning in different scenarios, including taught courses, self-directed learning and reference material such as software documentation. People have used it to learn how to program, and to learn about diverse subjects where computer code is important to human understanding. The aim of this talk is to dive into where and how notebooks can be used most effectively for education. I will first describe notebook-based learning...
Topics: Science, Education, Jupyter/iPython Notebook, All Other Programming Languages, Educational Track,...
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Alexys Jacob/Guillaume Gelin - Planning for the worst [EuroPython 2016] [21 July 2016 / 2016-07-21] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/planning-for-the-worst) Sharing our worst production experiences and the tricks, good practices and code we developed to address them. ----- This talk is about sharing our experience about how we handled production problems on all levels of our applications. We'll begin with common problems, errors and failures and dig on to...
Topics: The Answer to Life the Universe and Everything Else, Use Case, Best Practice, Mind Bending,...
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Thierry Carrez/Doug Hellmann - How OpenStack makes Python better (and vice-versa) [EuroPython 2016] [18 July 2016 / 2016-07-18] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/how-openstack-makes-python-better-and-vice-versa) OpenStack is an infrastructure stack mostly developed in Python. In this talk, Thierry Carrez and Doug Hellmann, both Python Software Foundation fellows and OpenStack Technical Committee members, will look at the symbiotic relationship between...
Topics: Best Practice, failures/mistakes, Test Driven Development (TDD), Development, OpenStack,...
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Björn Meier - NetworkX Visualization Powered by Bokeh [EuroPython 2016] [22 July 2016 / 2016-07-22] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/networkx-visualization-powered-by-bokeh) Visual data exploration, e.g. of social networks, can be ugly manual work. The talk will be an introduction for the combined usage of NetworkX and Bokeh in a Jupyter Notebook to show how easy interactive network visualization can be. ----- During some work with social network...
Topics: Visualization, Web General, EuroPython2016, Python
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The composability of fixtures in pytest is an improvement over traditional xUnit setup/teardown, reducing the incentive to commit testing crimes such as multi-stage and stepwise tests. This is great out of the box for unit tests, but I'm going to show how to combine the power of pytest fixtures with Docker to build high-level integration tests for microservices or other complex systems with multiple components. I'll then build on that to show how to embed mock web services written with Flask...
Topics: python, Docker, Test Libraries (pyTest/node/...), Web Servers and MicroFWs...
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A profile is a set of statistics that describes how often and for how long various parts of the program executed. Most profilers run inside your Python process. If you’re inside a Python program you generally have pretty easy access to its stack, hence we can gather information about time spent in each level. In this talk we'll build a Python profiler from scratch and so learn about the dynamic nature of Python and how do well-known profilers such as cProfile. We'll also learn the difference...
Topics: Performance, CPython, EuroPython2018, Python
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In close collaboration with scientists from MPG, the Max Planck Computing and Data Facility is engaged in the development and optimization of algorithms and applications for high performance computing, as well as in the design and implementation of solutions for data-intensive projects. Python is now used at MPCDF in the emerging area of “atom probe crystallography” (APT): a Fourier spectral analysis in 3D reciprocal space can be simulated in order to reveal both composition and...
Topics: Analytics, Scientific Libraries (Numpy/Pandas/SciKit/...), Big Data, Science, Visualization,...
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Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/
Topics: EuroPython2019, Python
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Docker has become a standard tool for developers around the world to deploy applications in a reproducible and robust manner. The existence of Docker and Docker compose have reduced the time needed to set up new software and implementing complex technology stacks for our applications. Now, six years after the initial release of Docker, we can say with confidence that containers and containers orchestration have become some of the defaults in the current technology stacks. There are thousands of...
Topics: Conda / conda forge, Data Science, Deep Learning, Machine-Learning, Scientific Libraries...
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Many Flask projects nowadays still use mostly static HTML, WTForms and just a bit of AJAX. All the JavaScript is usually included straight from .js files or just minified with Python tools like webassets. But the JavaScript ecosystem has evolved a lot - one can now use tools like Babel to write modern JS even when targeting older browsers and a Webpack+Babel build is very straightforward and allows for advanced preprocessing of JavaScript code. In this talk we'll even go one step further and...
Topics: JavaScript Web Frameworks (AngularJS/ReactJS/...), Web Servers and MicroFWs...
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Simple is better than complex, right? That’s true for data pipelines too. For more than 5 years, I hacked together extract-transform-load (ETL) processes in various different positions (ETL is just a fancy term for «bunch of things that take data somewhere and put it elsewhere, eventually transformed»). I did it as a founder, as a consultant, as a technical co-founder, for some side projects, and now in a big corp (to be continued…). In each case, I felt frustrated with the tools...
Topics: Data Science, Databases, Data, Open-Source, Python 3, EuroPython2017, Python
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Code golfing is an interesting heuristic dedicated to minimizing the overall length of code to produce the same functionality. The result doesn’t have to be incomprehensible, and in fact, we can make the code more Pythonic in the process! Concise code helps future readers of the code understand the intent without getting distracted by implementation errata. We’ll cover numerous features of Python which allow complex ideas to be expressed concisely without sacrificing readability. Broad...
Topics: Clean Code, Functional Programming, Python general, Developing with Python, EuroPython2017, Python
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High-energy particles accelerated by the Sun during Coronal Mass Ejections (CME) are a major concern for a manned mission to Mars. On Earth surface, these particles are shielded by the Earth magnetic field. In space and on the Martian surface, where such shielding is absent or much weaker, CME pose a radiation hazard to the health of astronauts. The development of tools to understand and forecast the interplanetary space weather is a requirement for future manned space missions in order to...
Topics: EuroPython2017, Python
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Web-developers use Python to develop web-applications, serving HTML or JSON content to user's browsers which render it. We test our applications to check that they serve content right and that they respond to HTTP requests in an expected way. However, this is not all that happens in a modern web application. There are lots of moving parts which are executed not on the server, but directly in user's browser, and they need to be tested too. The best way to check that our app works well in a...
Topics: Web Track, Testing, Web General, HTML5, EuroPython2017, Python
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Sarah Bird - Getting started with Bokeh / Let's build an interactive data visualization for the web..in Python! [EuroPython 2015] [20 July 2015] [Bilbao, Euskadi, Spain] Slides: [birdsarah.github.io/europython-2015-bokeh][1] As a web developer, I find myself being asked to make increasing numbers of data visualizations, interactive infographics, and more. d3.js is great, as are many other javascript toolkits that are out there. But if I can write more Python and less JavaScript... well, that...
Topics: open-data, data-science, javascript, visualization, bigdata, bokeh, pandas, web, django,...
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One of the main Python aspects is to have a clear syntax and be an easy-to-understand language, which compared to others like C++ (depending of the kindness of the developer) can make a huge difference. Not only the readability is in play, having a dynamically typed and interpreted language improves the development workflow. This improvement comes with a cost, performance. In most of the cases, a raw comparison of simple routines will leave Python behind, but there is a partial solution to this...
Topics: C-Languages, CPython, EuroPython2019, Python
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Infarm is a FaaS, Farming as a Service, and whether you believe it or not, our business is in-house farming at scale. We design and build our farms, grow vegetables and sell them, and the backbone of our infrastructure is based on Python. You can check this video to see what we do - https://twitter.com/christianbarra/status/1096399602159439874 More than 10 million observations are recorded from our farms, feeding our farm management system that allows operators, plant scientists, and...
Topics: Big Data, Hardware/IoT, Internet of Things (IoT), Machine-Learning, Python general, EuroPython2019,...
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I guide students in developing systems which are real world and need less hardware. This is possible in 2 steps. One,reduce collecting data which is already available online. Two, compute on cloud instead on the hardware. Cloud computing and Web services have opened a plethora of ways which were science fiction for electronics academia. Python packages such as requests, beautifulsoup and pyserial automate electronics at the grassroot level pushing all complexities to the cloud. This talk is...
Topics: Beginners, Case Study, Data, Internet of Things, Web Crawling, EuroPython2020, Python
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The United States has the highest incarceration rate in the world, with over 2.2 million people behind bars in our prisons, jails, juvenile facilities, and detention centers. The system is racist and ineffective, but how do we change something so big and so economically entrenched, especially as software engineers? Let’s look at how Python classes in US prisons are transforming rehabilitation and re-entry, and talk about what we can do as individuals and as an open source community to...
Topics: Python 3, Teaching, EuroPython2020, Python
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A look at the GPIO Zero library for Raspberry Pi yields the blueprint for a Pythonic API for programming the behaviour of interconnected devices. GPIO Zero provides a multi-paradigm programming interface to GPIO devices: - procedural (polling) - procedural (blocking) - event-driven (callbacks) - declarative Start with simple scripts to control LEDs and buttons on a breadboard, learn to prototype ideas and move on to declaring interaction between more advanced devices in the home and beyond....
Topics: Gadgets, Internet of Things (IoT), Sensors, Raspberry PI, Hardware/IoT Track, EuroPython2018, Python
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Winton ingests data continually from the world's financial markets. We track millions of individual timeseries, with divergent formats, from disparate time zones, and whose frequencies vary from months to milliseconds. We go beyond simply reading and storing it - we stitch distinct and vast data sets together and subject them to intricate calculations in real-time. This talk will focus on the way we use Python to achieve these ends, and how we are creating tools to further commoditise streaming...
Topics: Science, Data, EuroPython2017, Python
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Threads are typically not the way to take advantage of multiple CPUs for CPU-bound problems. The Global Interpreter Lock (GIL) allows the use of only one CPU at the time when using threads. However, the GIL is released for IO task The use case is a scientific simulation model that has to run 18,000 different simulations. The input data for these simulations need to be extracted from a common database, re-assembled and translated into several input files per simulation. After each simulation...
Topics: Performance, Developing with Python, Multi-Threading, Use Case, Multi-Processing, EuroPython2017,...
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Tobias Oberstein - Scaling Microservices with Crossbar.io [EuroPython 2016] [22 July 2016 / 2016-07-22] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/scaling-microservices-with-crossbario) Microservices offer an efficient way to only scale those parts of your application which are performance bottlenecks. We will demo and explain open source tech which allows the easy scaling out across distributed devices. The audience will be able to donate processor cycles from...
Topics: Scaling, Architecture, Distributed Systems, Internet of Things (IoT), Microservices,...
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James Robinson - Raspberry Pi Weather Station [EuroPython 2015] [23 July 2015] [Bilbao, Euskadi, Spain] [Education Summit] The Raspberry Pi weather station project introduces young people to using python programming to solve real and technical problems. The weather station consists of a range of sensors including: Anemometer Rain gauge Wind Vane Temperature Probe Barometer Air Quality Sensor Hygrometer 1000 kits are being given away to schools to take part in the project by following our...
Topics: education, python3, weather, python2, EuroPython2015, Python
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Ilia Kurenkov - re-Discovering Python's Regular Expressions [EuroPython 2016] [19 July 2016 / 2016-07-19] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/rediscovering-pythons-regular-expressions) As Armin Ronacher pointed out in a recent blog post, there is more to Python's regular expression module than meets the eye. His post made me wonder what other “hidden gems” are stashed away in Python’s `re`. In the talk I share what I’ve learned about the inner...
Topics: Python general, CPython, EuroPython2016, Python
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IPython seems like a fancy Python shell. Why do we need it when we have PyCharm, VSCode, and other IDEs? In this talk you'll learn how to use the power of IPython for rapid development and how you can integrate it with existing tools. We'll cover magic commands, calling external process, usage of extended history, async/await and more. You'll also learn on some popular extension and cool configuration hacks (such as code%autoreload 2/code) Since Jupyter is based on IPython, you'll be able to...
Topics: Development, Ipython, EuroPython2020, Python
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Art is everywhere and it’s beautiful. Unleash the creative artist inside you with the beauty of Generative Art. Learn how algorithms are used to create these aesthetic art forms, how motion and structures emit sounds and what toolkits are required to do so. This talk looks at Python as an artistic and visual programming language with the simplicity and beauty of generative art using Processing, PyCairo and webGL. The audience will see an evolution of generative art over the last 50 years, how...
Topics: Algorithms, Analytics, JavaScript, Physics, Python 3, EuroPython2020, Python
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We're going to talk about regular functions, iterables, iterators, function execution and yield - generator functions. We will send values and play with generators a bit. A quick look at asyncio will be followed by async and await, what a coroutine is and how to write async code with Python. Please see our speaker release agreement for details: https://ep2018.europython.eu/en/speaker-release-agreement/
Topics: Beginners, Education, Python 3, ASYNC / Concurreny, EuroPython2018, Python
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Mauri - VPython goes to School [EuroPython 2014] [22 July 2014] Using VPython in high school is an interesting way to introduce students to get in touch with computer programming concepts and to link computer science with other disciplines like Math, Geometry, Physics, Chemistry ----- My presentation is focused mainly on my teaching experience in a high school using VPython. I've posed some problems to my students to solve with VPython: from basic static building representations like castle to...
Topics: EuroPython2014, Python
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Goals: Describe the process I went though to return to and finish the code I wrote for my PhD modelling the geographic growth and decline of a Bulletin Board Systems (BBS) community called FidoNet. I had to leave the project for 2 major surgeries and finally returned to finish, validate the results and present a paper at the Sunbelt conference in Paris. Please see our speaker release agreement for details: https://ep2020.europython.eu/events/speaker-release-agreement/
Topics: Django, GEO and GIS, Git, Testing, legacy-code, EuroPython2020, Python
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andrea crotti - Metaprogramming, from decorators to macros [EuroPython 2014] [24 July 2014] Starting off with the meaning of metaprogramming we quickly dive into the different ways Python allows this. First we talk about class and functions decorators, when decorators are not enough anymore we'll explore the wonders of metaclasses. In the last part of the talk we'll talk about macros, first in Lisp and then using the amazing macropy library. ----- This talk is a journey in the wonderful world...
Topics: decorators, macro, metaprogramming, EuroPython2014, Python
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The talk will showcase how the Python community started and took off in Bloomberg, and how it can serve as a model that can be used within other companies as well. This includes details on how Bloomberg's Python community got started and grew to the place that it is today, as well as tips from its leaders personal experiences. Please see our speaker release agreement for details: https://ep2020.europython.eu/events/speaker-release-agreement/
Topics: Community, EuroPython2020, Python
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Welcome [EuroPython 2014] [July 2014]
Topics: EuroPython2014, Python
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Did you know there are multiple ways to raise and capture exceptions? Have you ever wondered if you should raise a built-in exception or create your own hierarchy? Did you ever find it hard to understand what an exception meant? This talk will go through the decisions needed to raise and capture exceptions when creating a library. We will look at how to translate and handle errors, create your own exceptions, and make exceptions clear and easy to troubleshoot, while also understanding how they...
Topics: Best Practice, Development, General, Python 3, Python Skills, EuroPython2019, Python
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Shane Evans - Web Scraping Best Practises [EuroPython 2015] [21 July 2015] [Bilbao, Euskadi, Spain] Python is a fantastic language for writing web scrapers. There is a large ecosystem of useful projects and a great developer community. However, it can be confusing once you go beyond the simpler scrapers typically covered in tutorials. In this talk, we will explore some common real-world scraping tasks. You will learn best practises and get a deeper understanding of what tools and techniques can...
Topics: scrapy, scraping, EuroPython2015, Python
